Summary
Djordje Gligorijevic is an Applied Science Manager specializing in monetization and ranking at Meta, with 11+ years driving high-impact machine learning solutions across advertising, search, and personalization. He previously led allocation, pricing and auto-bidding teams at eBay—delivering low-latency continual-learning predictors, a model distribution system that sped calibration 100x, and productionized budget-pacing and counterfactual simulation platforms. Earlier research roles at Yahoo and in academia produced temporal deep models for user trails, bid-shading strategies for first-price auctions, and clinical ML work on disease–gene associations from medical notes. He holds a PhD focused on uncertainty and explainability in ML and combines rigorous research (20+ papers, multiple patents) with hands-on production engineering. Known for bridging qualitative domain knowledge with scalable predictive systems, he routinely moves ideas from papers into real-time ad platforms. Based in San Jose, he blends technical leadership with a knack for turning complex temporal models into measurable business outcomes.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD) Computer and Information Sciences, Doctor of Philosophy (PhD) Computer and Information Sciences at Temple University
Bachelor of Science (B.Sc.) Information Systems and Technologies, Bachelor of Science (B.Sc.) Information Systems and Technologies at University of Belgrade